Patients’ and rheumatologists’ preferences for the attributes of biological agents used in the treatment of rheumatic diseases in spain


Joan M Nolla Manuel Rodríguez Emilio Martin-Mola Enrique Raya Isabel Ibero Gonzalo Nocea Belén Aragon Luis LIzán Miriam Prades

Patient Preference and Adherence 2016:10 1101–1113

Purpose: To de ne importance values assigned to attributes of biological agents (BAs) by Spanish patients with rheumatic diseases (rheumatoid arthritis, ankylosing spondylitis, and psoriatic arthritis) and rheumatologists. Patients and methods: This was an observational, cross-sectional design based upon a rank- based full-pro le conjoint analysis. A literature review and four focus groups were undertaken to identify attributes and levels. An orthogonal matrix, combining the selected levels of attri- butes, was used to de ne scenarios. Participants ranked eight scenarios from 1 (most preferred) to 8 (least preferred). The relative importance (RI) of attributes was calculated. Multivariate regression analysis was performed to identify the characteristics that in uenced the values of RI. A total of 488 patients (male 50.9%, mean age 50.6 [standard deviation {SD} 12.06] years, rheumatoid arthritis 33.8%, ankylosing spondylitis 32.4%, psoriatic arthritis 33.8%; mean time since diagnosis 12.6 [SD 8.2] years) and 136 rheumatologists (male 50.4%, mean age 46.4 [SD 9.1] years, mean time of practice 16.7 [SD 8.8] years) participated. Results: The ideal BAs for patients and physicians, respectively, should allow pain relief and improvement of functional capacity (RI 39% and 44.7%), with low risk of adverse events (RI 24.9% and 30.5%), a long time prior to perceiving the need for a new dose (RI 16.4% and 12.4%), and self-administration at home (RI 19.7% and 12.5%), as identi ed through their preferences. Conclusion: Although ef cacy and safety are paramount for patients and rheumatologists to make a choice regarding BAs, the need for a low frequency of administration and the administration method also play a role as preference attributes for BAs. Keywords: preferences, conjoint analysis, attributes, biological agents, rheumatic diseases


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